Investigation of Combining Serum Tumor Biomarkers and Clinical Features for Elderly Lung Cancer Diagnosis and Classification

• 作者: Cairong Wang Hongxia Wen Li Sun Linghua Liu Min Yu Shenghong Wei Shufen Huo Weifeng Liang Wenli Shang Xiaoping Ren Yajuan Ren Yingxuan Tian Zhuo Yang
• 来源期刊: 癌症治疗(英文)
• 学科: 医学
• 关键词: LUNG Cancer TUMOR Biomarkers DIAGNOSTIC MODELS
• 年，卷（期）: azzlyw,（2）
• 页码范围: 133-140
• 页数: 8页
• 分类号: R73

摘要

To evaluate the diagnosis model of serum tumor biomarker and several clinical features diagnose and classification for lung cancer, the solid protein chip technology (C-12) was used to detect the biomarkers of SF, CEA, CA242, NSE, CA125, CA19-9 and CA15-3 in serum and several clinical features of tumors and benign disease in elderly lung cancer patients were collected. Set up a discriminating analysis as a function diagnostic model in clinical elderly lung cancer diagnosis and sub-type discrimination. In combination of 2 obvious clinical indicators and 2 serum markers, it is possible to provide a diagnosis tool for lung cancer. With the help of mathematic model, it is promising to reduce the misjudgment risk based on the previous experience and therefore establish a reliable diagnosing function. This model is simple, cost-effective and easy to adapt in practice, and can also be used in screening of large population.